Evidence map›Paper›PMID 36039309›Full record

ArticleInternational journal of general medicine2022

Hematological Parameter as Predictor Mortality in Acute Myocardial Infarction Patients.

Novi Khila Firani, Khoirunisah Dwi Hartanti, Putri Purnamasari

Abstract read
In one paragraph

Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Novi Khila FiraniClinical Pathology Department, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.ORCID 0000-0002-4125-0773
Khoirunisah Dwi HartantiClinical Pathology Resident, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.
Putri PurnamasariClinical Pathology Resident, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Acute myocardial infarction (AMI) is one of the leading causes of death in the world. Several hematological parameters are involved in AMI conditions and can be explored for their ability to predict in-hospital mortality. We evaluated hematological parameter value as predictors of in-hospital mortality in AMI patients. Patients and Methods: Analytical observational study on AMI patients that admitted to Dr. Saiful Anwar Hospital, June-August 2021. Complete blood count was taken at the beginning of hospital admission. Patients with sepsis were excluded from the study. The research subjects were divided into two groups, survivor group and non-survivor group (in-hospital mortality). Hematological parameters as predictors of mortality were analyzed using the ROC curve and odds ratio. Results: Among 44 study subjects, 19 (43.18%) patients were in the non-survivor group and 25 (56.82%) patients were in the survivor group. Hematological parameters that can be predictors of mortality include leukocytes (AUC = 0.744; p = 0.006), neutrophils (AUC = 0.729; p = 0.010), eosinophils (AUC = 0.696; p = 0.028), and eosinophils/leukocytes ratio (AUC = 0.772; p = 0.012). The cut-off value for leukocytes was 13,725/μL (OR: 9), neutrophils was 12,008/μL (OR: 8.14), eosinophils was 58.3/μL (OR: 4.06), and eosinophil/leukocyte ratio was 0.0025 (OR: 4.41) with sensitivity 63.25%, 52.6%, 78.9%, and 63.2%, respectively, and specificity 84%, 88%, 52%, and 72%, respectively. Conclusion: Leukocyte, neutrophils, eosinophils count and eosinophil/leukocyte ratio can help predict in-hospital mortality of AMI patients.

Indexed as

acute myocardial infarctioneosinophilsleukocytesmortalityneutrophils

Identifiers

PMID36039309
PMCPMC9419809

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.